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Energy-driven computing.

Sivert T Sliper1, Oktay Cetinkaya1, Alex S Weddell1

  • 1Centre for IoT and Pervasive Systems, School of Electronics and Computer Science, University of Southampton, Southampton, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|December 24, 2019
PubMed
Summary
This summary is machine-generated.

Energy-driven computers harvest ambient energy for autonomous operation in the Internet of Things. These systems adapt to fluctuating power, enabling intermittent computing for long-lasting, maintenance-free devices.

Keywords:
batteryless computingenergy harvestingenergy-driven computingintermittent computing

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Area of Science:

  • Computer Engineering
  • Sustainable Computing
  • Internet of Things (IoT)

Background:

  • Traditional untethered devices prioritize fixed quality of service and minimal power consumption for extended battery life.
  • The Internet of Things (IoT) requires autonomous devices that harvest ambient energy, eliminating reliance on batteries or mains power.
  • Harvested energy sources are often unpredictable and variable, posing challenges for consistent device operation.

Purpose of the Study:

  • To introduce and discuss the concept of energy-driven computing for autonomous IoT devices.
  • To explore the potential and constraints of energy-driven computing, particularly concerning intermittent operation.
  • To highlight the adaptation strategies for devices operating with variable energy harvesting.

Main Methods:

  • Conceptual framework development for energy-driven computing.
  • Analysis of intermittent operation challenges and solutions.
  • Review of adaptation mechanisms for fluctuating energy availability.

Main Results:

  • Energy-driven computers treat energy availability as a primary design factor.
  • These systems can gracefully adapt to energy fluctuations by entering sleep modes or capitalizing on surplus energy.
  • Intermittent operation is a key consideration for realizing energy-autonomous computing.

Conclusions:

  • Energy-driven computing offers a pathway to autonomous, long-deployment IoT devices by managing variable energy harvesting.
  • The design must prioritize graceful adaptation to energy dynamics, including periods of scarcity and abundance.
  • This approach is crucial for the future of sustainable and maintenance-free computing in the IoT ecosystem.